Nvidia has developed a system that preserved large language model (LLM) accuracy with less precision. The system, which will be outlined at the Hot Chips conference, highlights how Nvidia's AI game is becoming more about software and optimization as much as it is hardware.
OpenAI said GPT-4o fine tuning, which will enable you to customize the company's best model with proprietary data sets, is available to developers across all paid usage tiers.
Sakana AI, an artificial intelligence startup based in Tokyo, has launched a new generative AI model called AI Scientist that aims to automate scientific research discovery processes.
Google's Made by Google event featured Pixel 9 devices with a heavy dose of its Gemini models as well as its tech stack that extends from cloud to edge.
Meta reported better-than-expected second quarter results and tightened its capital expenditure range for the year to $37 billion to $40 billion largely due to artificial intelligence efforts.
Meta released Llama 3.1 405B, an open "frontier-level model" that aims performs as well as proprietary models. For Meta CEO Mark Zuckerberg, the Llama cadence is designed to play the long game and bet open-source models ultimately win.
Microsoft researchers have cooked up SpreadsheetLLM, a method that encodes and optimizes large language models (LLMs) so they can understand spreadsheets.
Amazon Web Services is focused on enabling generative AI throughout its platform in a bid to move projects from pilots to production. The strategy is to meet enterprises where they are with practical features including fine-tuning of large language models (LLMs), guardrails and additons to Amazon Bedrock.
AMD said it will acquire Silo AI for $665 million in cash in a deal that advances the company's efforts to broaden its generative AI ecosystem.
Generative AI models are going to have a big training data issue as public web access becomes more restricted and it's unclear whether large language models (LLMs) will be able to avoid the garbage in, garbage out issue.
